Science

A new data-driven approach leverages graph neural networks to guarantee the stability of large-scale interconnected systems, even with unknown underlying dynamics.

Researchers have developed a novel physics-informed deep learning method to accurately price financial options under the widely-used Heston model.

A new approach to analyzing social media chatter is helping cities pinpoint and address potential problems with public transportation systems.

A new study demonstrates how artificial intelligence can assess mental health symptoms by analyzing subtle cues in speech and voice patterns.

A new analysis reveals the dangerous incentives driving the development of Artificial General Intelligence, suggesting a rush to deployment despite potentially catastrophic risks.

A new framework leverages the power of brain network analysis and multimodal imaging to forecast individual risk of neurodegenerative disease progression.

New research shows that understanding the relationships between online comments is crucial for accurately identifying and flagging uncivil behavior.

A novel hybrid quantum-classical neural network is demonstrating promising results in predicting stock market performance.

This review explores how intelligently coordinating AI workloads with power system operations can significantly reduce carbon emissions and improve grid resilience.

New research demonstrates that the textual content of song lyrics, when processed with advanced language models, can be a powerful indicator of a song’s potential popularity.